Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods

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Kemal Polat (Professor, Electrical and Electronic Engineering Department, Engineering of Faculty, Bolu Abant Izzet Baysal University, Turkey) Saban Öztürk (Researcher, Amasya University, Turkey)

Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods

Kemal Polat (Professor, Electrical and Electronic Engineering Department, Engineering of Faculty, Bolu Abant Izzet Baysal University, Turkey), Saban Öztürk (Researcher, Amasya University, Turkey)

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English

Academic Press Inc
05 May 2023

Medical imaging; Biomedical engineering; Artificial intelligence; Signal processing; Image processing

Series: Intelligent Data-Centric Systems

Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities.

Focusing on solving real medical problems using new deep learning and CNN approaches, this book will appeal to research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases.

Edited by: Kemal Polat (Professor Electrical and Electronic Engineering Department Engineering of Faculty Bolu Abant Izzet Baysal University Turkey), Saban Öztürk (Researcher, Amasya University, Turkey)
Imprint: Academic Press Inc
Country of Publication: United Kingdom
Dimensions: Height: 235mm, Width: 191mm,
Weight: 630g
ISBN: 9780323961295
ISBN 10: 0323961290
Series: Intelligent Data-Centric Systems
Pages: 302
Publication Date: 05 May 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Professor Dr. Kemal Polat is a Professor in the Electrical and Electronic Engineering Department, Engineering of Faculty, Bolu Abant Izzet Baysal University, in Turkey. He has over 130 articles published in leading scientific journals and around 80 international conference papers. He is, amongst others, a member of the editorial board of the Journal of Neural Computing and Applications and editorial board member of Applied Soft Computing, Elsevier. His current research interests are in biomedical signal classification, control systems, electronics, statistical signal processing, visual memory, neuroscience, brain-computer interface, PPG signal, medical electronics, digital signal processing, pattern recognition, and classification. Dr. Saban Öztürk is a researcher in Amasya University, in Turkey. He has over 50 scientific publications. Dr. Öztürk’s current research interests are in the fields of biomedical image processing, histopathological image analysis, hashing, content-based image retrieval, siamese networks and loss function, metric learning, deep learning, and image representation.